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MontpellierJoint research unit of University of Montpellier and CNRS (\~400 members). The DEXTER team (robotics department) focuses on surgical robotics and parallel kinematics, designing high-performance robots
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. This post doc offer (12 months) is part of the European project IHI Accelerate.EU aiming at developing 211At-based radiotheranostic pairs to treat cancers (https://ihi-accelerate.eu/). Astatine-211 is an
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Strong experience in bioinformatics, particularly in molecular phylogeny and comparative genomics
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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data Proficiency in advanced statistical analysis methods: structural equation modeling (SEM), robust Poisson regressions Proficiency in handling non-response: weighting and multiple imputation
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data